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pytest-native semantic testing for LLM and generative AI applications. No servers. No SaaS. Works with OpenAI, Anthropic, LiteLLM and any LLM client.

Guardrails for AI agents — budget limits, kill switches, and human approval gates.

CLI AI Agent for code and documentation

Airflow connector for Floe CLI (manifest-first orchestration)

Python bindings for SimpleAgents

Fraisier - Deployment orchestrator for the FraiseQL ecosystem. Any language, any database, any deployment target.

AI-powered CV screening CLI — ranks candidates against a Job Description using Google Gemini and pushes results to Notion

QuickAgents - AI Agent Enhancement Toolkit with Document Understanding, Self-Evolution and Unified UTF-8 Encoding

CLI coding assistant powered by your Ollama GPUs via PastaWater

LLM prompts as versioned YAML files — git-trackable, renderable, and diffable. Works with OpenAI, Anthropic, LiteLLM, and any LLM client.

pytest-native semantic assertions for LLM and generative AI applications. No servers. No SaaS. Works with OpenAI, Anthropic, LiteLLM and any LLM client.

Governed knowledge store for autonomous organizations. Trust tiers, cryptographic audit trails, content-addressed storage, air-gap native.

AI model: deadbydawn101/gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit

AI model: Aurous37/Hermes-Bonsai-Self-Improving-Agent-Loop

AI model: katanemo/Arch-Agent-32B

LLM automation framework: autonomous agent chains (Marble Runs) for Claude Code

Agent ReAct framework with cognitive planning engine — five-phase cognitive cycle with nested ReAct loops, dynamic skill acquisition, and interactive user input.

Open-source voice agent OS. Rust runtime, AI-driven builder, sub-200ms latency. Self-host everything.

Lightweight LLM agent infrastructure: Memory, Connectors, Automation. Extracted from BACH.

AI Agent | AI Coding Agent | Next Gen | Innovation AI-Native Engineering Agent for Enterprise-Scale Codebase